Research, Measurement & Evaluation – M.S.Ed.

As a STEM Designated Degree Program, the Research, Measurement, and Evaluation M.S.Ed. program aims to train students in research methodology, relevant statistical and measurement analyses, and statistical software required for data management and statistical analyses relevant to research and evaluations conducted in educational, psychological, health, and human service environments. To accomplish this goal, our curriculum allows students to get sufficient training in the relevant methodologies and statistical software through coursework and field experience. We provide a variety of courses that cover basic descriptive and inferential statistics, the general linear models, multivariate statistics, structural equation modeling, measurement theory, program evaluation, data management, and statistical programming using R, SPSS, or SAS.

As an interdisciplinary program, our courses focus on the application of quantitative methods to solve real-world problems so that the theoretical knowledge and practical skills obtained in the classroom settings can be directly applied to the field work. The majority of courses related to statistics, measurement, and data analysis are delivered in the computer labs whereby students are actively engaged in using relevant statistical software to conduct the desired analyses. Upon graduation, students have a variety of options to choose for employment in related fields of psychology, measurement, statistics, and business such as private and public sectors as data analysts, methodology consultant, or continue to pursue their doctoral degrees. We offer a high-prestigious Ph.D. program in Research, Measurement, and Evaluation for advanced students to continue their training and research in this field. Outstanding graduates from the M.S.Ed. program may receive tuition waiver, scholarship, or assistantship in our continued Ph.D. program.

Students entering the M.S.Ed. program are not required to have mathematics or statistics background. Students from a wide range of disciplines are encouraged to apply. The graduates and current master students enrolled in the M.S.Ed. program have bachelor’s degrees in education, psychology, sociology, public health, and other social sciences.

Program Requirements

The curriculum of the Research, Measurement, and Evaluation M.S.Ed. program is structured around three components:

1. Core Courses (24 credits, 8 courses of 3 credits each)
   • Quantitative Methods I
   • Introduction to Research Methods
   • Quantitative Methods II
   • Applied Multivariate Statistics
   • Introduction to R programming
   • Measurement and Psychometric Theory
   • Categorical Data Analysis
   • An Introduction to Structural Equation Modeling for Multivariable Data
2. Elective courses (6 credits)
   Some of the potential courses offered in the School of Education and Human Development for electives are the following:
   • Item Response Theory
   • Introduction to Multilevel Modeling
   • Meta-analytic methods for research synthesis.
   • EPS 714 Qualitative Methods I
   • EPS 715 Qualitative Methods II: Case Studies and Grounded Theory
   • EPS 716 Qualitative Methods II: Interviews and Content Analysis
   Students can also take any course of their interest from other departments and schools across the University after they discuss with their academic advisor.
3. A written comprehensive exam

What do our graduates from the last 3 years do now?

• PhD student in Education, Methodology, Measurement and Analysis at the University of Central Florida
• Technology Transfer Coordinator, University of Miami
• PhD student in Health Policy and Management at the Florida International University
• Research Analyst at OutMatch HCM in Texas.
• Sr. Analyst at Worldmedia Interactive in Miami, FL
• PhD student in Psychology at the Florida International University in Miami, FL
• PhD student in the Department of Management at the University of Miami
• PhD student in Psychology at the University of Georgia
• PhD student in Measurement, Statistics, and Evaluation at the University of Maryland
• Analytics Advisor in the Decision Analytics and Information Management Team at the Shelby County Public Schools in Mempis, TN.